Data Engineer

MedWatchers partners with health plans to improve member outcomes. Good data is central to how we deliver that work. About the Role We're looking for a Data Engineer who can empower our program teams by owning the data pipelines they rely on. What you'll be doing: Owning, maintaining, and improving the production data pipelines behind our client programs Diagnosing and resolving pipeline issues, and hardening the systems that cause them Turning recurring, high-touch data work into automated processes that run on their own Partnering with program teams on client data and reporting needs, and designing systems that reduce those requests over time Extending our data validation framework so quality issues surface earlier and more visibly Required Skills 3+ years in a data engineering or similar role, building and maintaining production data pipelines Strong experience with building cloud data solutions in AWS Strong Python , specifically for ETL/ELT work: writing maintainable, testable pipeline code Advanced SQL and relational database experience: schema design, data modeling, and query optimization Experience with containerization in production using Docker Workflow orchestration experience using DAG-based orchestrator tools, like Airflow, Prefect, or Dagster Demonstrated data validation / data quality experience: building checks that reject, quarantine, or flag bad data (e.g. Great Expectations, Pandara, dbt tests, or custom frameworks) Preferred Skills Track record of automating recurring manual work: taking a fragile, high-touch process and driving it toward "set it and forget it" Experience working directly with non-technical stakeholders to translate loosely-defined asks into concrete data solutions Experience with data cataloging / metadata management / data contracts, using tools like DataHub and OpenMetadata, or having built something similar in-house Experience with data observability: instrumenting pipelines so volume, freshness, schema changes, and distribution shifts are tracked and visible over time Experience building data lakes that make organizational data easy to query and analyze Hands-on experience with document stores like MongoDB Experience creating and deploying applications with Kubernetes Pay Range and Compensation $100,000-$150,000 Actual compensation will depend on experience, qualifications, skills, and other job-related factors. Equal Opportunity Statement MedWatchers is an Equal Opportunity Employer. #J-18808-Ljbffr